
"""simple docstring"""

import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property
@unittest.skipUnless(os.path.exists(_A				)  ,      "Tatoeba directory does not exist."				)
class   _UpperCAmelCase				(		unittest.TestCase				):




      @cached_property
      def      a_   (				self				)    ->       List[str]:
          UpperCAmelCase          =       tempfile.mkdtemp()
          return TatoebaConverter(save_dir=snake_case_				)




      @slow
      def      a_   (				self				)    ->       Optional[Any]:
          self.resolver.convert_models(['heb-eng']				)




      @slow
      def      a_   (				self				)    ->       Dict:
          UpperCAmelCase          =       self.resolver.write_model_card('opus-mt-he-en' ,							dry_run=snake_case_				)
          assert mmeta["long_pair"] == "heb-eng"





from __future__ import annotations







def 							A__       (    lowerCamelCase    )	->						int:
				UpperCamelCase_:				Optional[Any]						=    len(lowerCamelCase    ) // 2

				# choose the middle 3 elements
				UpperCamelCase_:				Tuple						=    lst[m - 1 : m + 2]

				# if middle element is peak
				if three[1] > three[0] and three[1] > three[2]:
								return three[1]

				# if increasing, recurse on right
				elif three[0] < three[2]:
								if len(lst[:m]    ) == 2:
												m -= 1
								return peak(lst[m:]    )

				# decreasing
				else:
								if len(lst[:m]    ) == 2:
												m += 1
								return peak(lst[:m]    )


if __name__ == "__main__":
							import doctest

							doctest.testmod()






